Evidence map›Paper›PMID 34621859›Full record

ArticleWorld journal of clinical cases2021

Accuracy of ultrasonography in diagnosis of fetal central nervous system malformation.

Bo Pang, Jing-Jing Pan, Qin Li, Xia Zhang

Open access · diamondAbstract read
In one paragraph

Article in World journal of clinical cases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.0field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Bo PangDepartment of Ultrasound, The First Affiliated Hospital of Wannan Medical College, Wuhu 241000, Anhui Province, China.
Jing-Jing PanDepartment of Neurosurgery, The Second People's Hospital of Wuhu, Wuhu 241000, Anhui Province, China.
Qin LiDepartment of Gynaecology and Obstetrics, The First Affiliated Hospital of Wannan Medical College, Wuhu 241000, Anhui Province, China.
Xia ZhangDepartment of Ultrasound, The First Affiliated Hospital of Wannan Medical College, Wuhu 241000, Anhui Province, China. yjsusd@163.com.
Wannan Medical College · CNWuhu Fourth People Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrenatal examination is an important measure for the screening and diagnosis of fetal malformations.

aimTo investigate the accuracy of ultrasonography in the diagnosis of fetal central nervous system (CNS) malformations.

methodsOne hundred and thirteen pregnant women suspected of having fetal CNS malformations were examined at our hospital from December 2018 to October 2020 using two-dimensional ultrasonography and three-dimensional ultrasonography, respectively.

resultsAccording to the pathological results, there were 79 cases of CNS malformations and 34 cases of non-CNS malformations among the 113 pregnant women suspected of having fetal CNS malformation. Fifty-one cases of CNS malformation and 26 cases of non-CNS malformation were detected by two-dimensional ultrasonography, and 73 cases of CNS malformation and 30 cases of non-CNS malformation were detected by three-dimensional ultrasonography. The diagnostic sensitivity (92.41%) and accuracy (91.15%) of three-dimensional ultrasonography were higher than those of two-dimensional ultrasonography (64.56% and 68.14%, respectively) (

conclusionThree-dimensional ultrasonography has high application value in the diagnosis of fetal CNS malformations. In addition, the image quality is clear, and the diagnostic sensitivity and accuracy are high.

Indexed as

DiagnosisDiagnostic accuracyFetal central nervous system malformationScreeningUltrasonography

Identifiers

PMID34621859
PMCPMC8462195
OpenAlexW3201055681

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.